No input in team and project placement. Internship highly focused on full-time conversion. Highly variable management quality. Data Eng. is very H1B heavy. Data Eng. interns cannot switch teams or receive full-time offers for other positions. Large infra means a lot of legacy tech.
Automatic team and project placement is demotivating for the self-motivated types you want to hire.
It consisted of two consecutive 45-minute rounds, all conducted online. I solved one SQL problem and one Python problem. They also asked me to explain a project I had worked on and posed some basic database knowledge questions.
Two back-to-back one-hour interviews. Both are behavioral and technical. There is also a 10-minute break in between interviews. You will receive an offer 7-10 days after. Overall, not bad at all.
A 45-minute interview with a Sr. Data Engineer and a Data Engineer. Questions covered SQL topics like Joins, GROUP BY, and Date functions, followed by Amazon Leadership Principles. Overall, the interview was not bad, but the Amazon Leadership Princ
It consisted of two consecutive 45-minute rounds, all conducted online. I solved one SQL problem and one Python problem. They also asked me to explain a project I had worked on and posed some basic database knowledge questions.
Two back-to-back one-hour interviews. Both are behavioral and technical. There is also a 10-minute break in between interviews. You will receive an offer 7-10 days after. Overall, not bad at all.
A 45-minute interview with a Sr. Data Engineer and a Data Engineer. Questions covered SQL topics like Joins, GROUP BY, and Date functions, followed by Amazon Leadership Principles. Overall, the interview was not bad, but the Amazon Leadership Princ